A Knowledge Roughness Based Approach to Decision Tree Construction
Hongmei Lü · Computer Knowledge and Technology · 2007
Decision Tree is one of the most important method for datamining,the choice of testing attribute will touch the depth and nodes of decision tree.In this paper we bring forward a new approach to decision tree construction based on knowledge roughness.By comparation we find that the new method has less compute capacity and constructed decision tree is concision with higher classify precision.